AI practitioners course
Introduction
Artificial Intelligence (AI) is the science behind systems that can program themselves to classify, predict, and recommend.
This course explains how AI systems understand, reason, learn and interact. Learn from industry experience on AI use cases; develop a deeper understanding of machine learning techniques and the algorithms that power those systems and propose solutions to real world scenarios leveraging AI methodologies.
IBM SkillsBuild for Academia
Self-led course
Explore the topics, technology and skills required to gain practice in the successful application of Artificial Intelligence techniques to address key industry problems.
Why Study AI?
AI is the science behind systems that can program themselves to classify, predict, and recommend from structured and unstructured data. For millennia, humans have pondered the idea of building intelligent machines. Ever since, AI has had highs and lows, demonstrated successes, and unfulfilled potential.
Today, AI is empowering people and changing our world. Netflix recommends movies from the long tail, Amazon recommends the popular brand from a list, cars learn when to pass the vehicle in front, and robots distinguish trash from dishes to be washed.
In this course, we will explain how AI systems understand, reason, learn and interact; learn from industry experience on AI use cases; develop a deeper understanding of machine learning techniques and the algorithms that power those systems, and propose solutions to real-world scenarios leveraging AI methodologies and techniques.
Objectives
AI Practitioners
- Further, the digital transformation of enterprises with an understanding of industry AI adoption patterns.
- Are conversant with AI technologies such as natural language processing, machine learning, neural networks, virtual agents, and computer vision.
- Can work with basic machine learning models and AI tools to solve real-world problems.
Scope
- Watson Assistant — Learn how to build an AI assistant to improve efficiency and communication within an organization.
- Watsonx.ai — Learn how generative AI tools can simplify and streamline everyday business tasks.
- Watson NLU — Discover how natural language processing can be leveraged to
Learning objectives:
- Define the characteristics of AI applications.
- Understand AI concepts and benefits.
- Explain AI use cases and applications.
- Create a simple machine learning model.
- Conduct optimization and model tuning.
- Differentiate between various AI solutions across a variety of industries and use-cases.
- Identify an appropriate machine solution to solve a given business problem.
Tools
This course uses the following tools:
- IBM watsonx.ai
- IBM AutoAI
- IBM Watson Assistant
- IBM Watson NLU
- Python
Prerequisites
Instructor Workshop
- Attend instructor workshop
- Facilitator has taken the course and successfully passed the exam
- Avid speaker with good presentation skills
- Pedagogical group management skills
- Encourage critical thinking and domain exploration
- Experience handling data sets and IP copyrights
Classroom Format
Individuals with an active interest in applying for entry-level jobs to work in AI related fields.
- Basic IT Literacy skills*
*Basic IT Literacy – Refers to skills required to operate at the user level a graphical operating system environment such as Microsoft Windows® or Linux Ubuntu®, performing basic operating commands such as launching an application, copying and pasting information, using menus, windows and peripheral devices such as mouse and keyboard. Additionally, users should be familiar with internet browsers, search engines, page navigation, and forms.
Digital credential
Practitioner Certificate
IBM Artificial Intelligence Practitioner Certificate
See badgeAbout this certificate
Through validated Artificial Intelligence (AI) instructor-led training, this badge earner has demonstrated the ability to have acquired the skills and understanding of AI concepts and technologies.
The badge earner has demonstrated proficiency and understanding of Artificial Intelligence technical topics and design thinking.
The earner has gained the ability to apply the concepts and technology of Artificial Intelligence with the applicable open-source tools that are relevant to real world Artificial Intelligence scenarios, suitable for educational purposes.
Skills
AI, AI operations, Collaboration, Communication, Computer vision, AI industry expertise, Neural networks, Virtual agents, Computer vision, AI operations, Data sources, Machine learning, Natural language processing, Deep learning, Watson discovery, IBM Cloud, Node-RED, IBM Watson, Natural language understanding, Visual recognition, Design Thinking, Use cases, Communication, Collaboration, Teamwork, Problem solving, Empathy, Personas, Experience design, Ideation, User experience, User research, User-centered design, User-centric approach, and Storyboarding.
Criteria
- Must attend a training session at a higher education institution implementing the IBM SkillsBuild program.
- Must have completed the instructor led AI Practitioners training.
- Must have earned the Enterprise Design Thinking Practitioner Badge.
- Must pass the AI practitioners exam and satisfactorily complete the group exercise.
Instructor Certificate
IBM Artificial Intelligence Practitioner Certificate: Instructor
See badgeAbout this certificate
Through an IBM instructor-led workshop, this badge earner has acquired skills on Artificial Intelligence (AI) concepts, technology, and use cases.
The badge earner has demonstrated proficiency on the following topics: Artificial Intelligence foundations, Machine learning, AI language and vision, Understand Design Thinking for AI, and AI industry use cases.
The earner has demonstrated the capacity to deliver the Artificial Intelligence course as an instructor applying pedagogical skills to drive the group work using challenged based scenarios.
Skills
AI, Industry expertise, Neural networks, Virtual agents, Computer vision, AI operations, Data sources, Machine learning, Natural language processing, Deep learning, Watson discovery, IBM Cloud, Node-RED, IBM Watson, Natural Language Understanding, Visual Recognition, Design Thinking, Use cases, Trainer, Lecturer, Advisor, Communication, Collaboration, Teamwork, Problem solving, Empathy, Personas, Experience design, Ideation, UX, User experience, User research, User-centered design, User-centric approach, and Storyboarding.
Criteria
- Must be an instructor of a Higher Education Institution which has or is implementing the IBM SkillsBuild program.
- Must have completed the IBM Artificial Intelligence Workshop Practitioners – Instructors Workshop.
- Must have earned the Enterprise Design Thinking Practitioner Badge.
- Must fulfill the requirements of IBM Skills Academy teaching validation process.